Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps.
Udo SeiffertBernd MichaelisPublished in: Inf. Sci. (1997)
Keyphrases
- self organizing maps
- motion parameters
- rigid body
- three dimensional
- image sequences
- least squares
- optical flow
- camera motion
- motion analysis
- motion estimation
- point correspondences
- motion model
- kalman filter
- maximum likelihood estimates
- competitive learning
- moving objects
- feature points
- neural network
- flow field
- neural gas
- objects in cluttered environments
- input data
- unsupervised learning
- estimated parameters
- multi view
- d objects
- k means
- computer vision
- motion segmentation
- video sequences
- network anomaly detection
- motion field
- data analysis
- closed form
- rigid and non rigid